# About Me
Shuming ZHANG （张书鸣）, currently a Master Candidate of Computer Science and Technology advised by Prof. Yan Qiang, is with College of Computer Science and Technology (Data Science) (opens new window), Taiyuan University of Technology (opens new window).
I was recommended to study a Master's degree without entrance examination at the senior year (2021-2022) of my undergraduate. Now my research intersts are in medical image processing, deep learning, etc.
# News
- [Sept 2018] Attended TYUT
- [Aug 2000] Born in Linfen, Shanxi, P. R. China
# Education & Experiences
- College of Computer Science and Technology (Data Science), TYUT
Sept 2022 - Now - College of Information and Computer, TYUT
Sept 2018 - Jun 2022 - Linfen First High School
Sept 2015 - Jun 2018
# Projects
# Papers
Unpaired low-dose computed tomography image denoising using a progressive cyclical convolutional neural network
Qing Li, Runrui Li, Saize Li, Tao Wang, Yubin Cheng, Shuming Zhang, et al.
[Published Feb 25 2023]
Abstract: Background Reducing the radiation dose from computed tomography (CT) can significantly reduce the radiation risk to patients. However, low-dose CT (LDCT) suffers from severe and complex noise interference that affects subsequent diagnosis and analysis. Recently, deep learning-based methods have shown superior performance in LDCT image-denoising tasks. However, most methods ...
[PDF (opens new window)] [link (opens new window)] [DOI:10.1002/mp.16331]
PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction
Wanting Yang, Wei Wu, Long Wang, Shuming Zhang, Juanjuan Zhao, Yan Qiang
[Published Sept 2023]
Abstract: In the case of specific immunotherapy regimens and access to pre-treatment CT scans, developing reliable, interpretable intelligent image biomarkers to predict efficacy is essential for physician decision-making and patient treatment selection. However, varying levels of prognosis show a similar appearance on CT scans. It becomes challenging to stratify patients ...
[PDF (opens new window)] [link (opens new window)] [DOI:10.1016/j.compbiomed.2023.107371]
# Awards & Honors
(WIP)
# Scholarships
- First Class of Academic Excellence Scholarship -- For Graduate Student
Sept. 2023
# Contests
- First place -- The Very Awesome Contest
month year